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    Area of Science:

    • Neuroscience
    • Biomechanics
    • Occupational Health

    Background:

    • Repetitive non-concussive blast exposure may lead to sub-clinical neurological symptoms.
    • These neurological changes can manifest in altered neural control of gait and balance.
    • Objective assessment of blast exposure effects is crucial for occupational safety.

    Purpose of the Study:

    • To investigate the relationship between repetitive blast overpressure exposure and gait/balance parameters.
    • To develop a predictive model for blast exposure dose using accelerometry data.
    • To assess the feasibility of using gait analysis for monitoring physiological effects of occupational blast exposure.

    Main Methods:

    • Collected body-worn accelerometry data from individuals occupationally exposed to repetitive blast overpressures.
    • Extracted features from accelerometry data during low-movement and gait periods using eigenvalue analysis of correlation matrices.
    • Employed time-delay embedding at multiple scales for feature generation and utilized cross-validation for model development.

    Main Results:

    • Significant correlations were found between gait features and cumulative blast exposure dose.
    • Features extracted during gait windows showed stronger correlations with exposure than those from low-movement periods.
    • A cross-validated model successfully predicted overpressure exposure from gait features alone, with an RMSE of 1.27 dB.

    Conclusions:

    • Gait analysis using accelerometry is a promising method for assessing the physiological impact of repetitive blast exposure.
    • The developed predictive model demonstrates the potential for objective monitoring of blast exposure effects.
    • Findings may inform the development of training procedures to mitigate neurological consequences of occupational blast exposure.